Jorge Ventura

Papers

Total Citations

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About

Jorge Ventura is a researcher whose work spans the intersection of robotics, geometric algebra, and human-robot interaction. His research demonstrates a distinctive blend of applied engineering and advanced mathematical frameworks, addressing both practical and theoretical challenges in modern robotics and spatial computing. Ventura's most influential contribution to date is his 2022 work on compliant grippers with force estimation for physical human-robot interaction, which has garnered 17 citations and represents a meaningful advance in safe, responsive robotic manipulation — a critical frontier as robots increasingly operate alongside humans. This work reflects a deep engagement with the mechanical and sensory challenges of collaborative robotics. His 2024 paper introduces a novel geometric method leveraging conformal geometric algebra (CGA) to solve the classical resection problem in two and three dimensions. By exploiting CGA's unified representation of geometric primitives — points, lines, planes, and volumes — Ventura offers an elegant and mathematically rigorous alternative to conventional approaches, with implications for robotics localization, computer vision, and surveying. With citations accumulating across both engineering and mathematical domains, Ventura is establishing himself as a versatile researcher whose interdisciplinary perspective bridges theoretical geometry and real-world robotic applications.